NDLI: Processing of wireless signals to preserve wireline network resources

Content Provider	IEEE Xplore Digital Library
Author	Medard, M.
Copyright Year	1999
Description	Author affiliation: Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA (Medard, M.)
Abstract	In order increase the capacity in the wireless domain, the signals from several distributed receivers may be combined. The combining of these signals typically requires transmission over a wireline network. In the wireline domain, signals may be transmitted to a single centralized processing node or may be processed in a distributed fashion at several nodes in the network. We compare, for white Gaussian noise channels, the capacity gains that can be obtained from distributed processing of wireline signals to the capacity gains obtained using maximum likelihood ratio combining at a single processing node. We find that, by using optimal detection techniques, the bandwidth requirements in the wireline domain can be significantly reduced without reducing the capacity in the wireless domain. These gains in capacity are achieved by eliminating transmission of redundant information in the wireline network.
Starting Page	61
Ending Page	65
File Size	415526
Page Count	5
File Format	PDF
ISBN	0780356683
ISSN	15253511
DOI	10.1109/WCNC.1999.797786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Distributed processing Receiving antennas Bandwidth AWGN Gaussian noise Fading Channel capacity Maximum likelihood detection Wireless communication
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Processing of Wireless Signals to Preserve Wireline Network Resources

Maximum likelihood detection of co-channel communication signals exploiting the spatio-temporal diversity

Maximum likelihood detection of co-channel communication signals via exploitation of spatial diversity

Space modulation on wireless fading channels

A Weighted Combining Approach to Multiuser Detection in Macrodiversity

Turbo space-time processing to improve wireless channel capacity

Secrecy capacity of SIMO and slow fading channels

Greedy multiuser detection over single-path fading channel

A Joint Estimator of SNR and Mobile Speed in Wireless Communications

Processing of wireless signals to preserve wireline network resources

Similar Documents

Processing of Wireless Signals to Preserve Wireline Network Resources

Maximum likelihood detection of co-channel communication signals exploiting the spatio-temporal diversity

Maximum likelihood detection of co-channel communication signals via exploitation of spatial diversity

Space modulation on wireless fading channels

A Weighted Combining Approach to Multiuser Detection in Macrodiversity

Turbo space-time processing to improve wireless channel capacity

Secrecy capacity of SIMO and slow fading channels

Greedy multiuser detection over single-path fading channel

A Joint Estimator of SNR and Mobile Speed in Wireless Communications

Processing of wireless signals to preserve wireline network resources